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Main description:
Over the last few years, the methods for analyzing cancer-related genes on a molecular level have changed rapidly. The advent of incredible new technology, such as automated sequencing, has served as a catalyst for many advances in the area of gene profiling, and has enabled the research community to investigate populations of cells in a given tissue. Cancer Gene Profiling: Methods and Protocols examines the world of cancer gene profiling in light of these new advances, providing highly developed microarray techniques alongside modern methods for arraying tissues and proteomics. Chapters bring together the experiences of leading scientists in each method of profiling, providing a clear overview of the ground-breaking techniques used to perform these experiments effectively. Composed in the highly successful Methods in Molecular Biology (TM) series format, each chapter contains a brief introduction, step-by-step methods, a list of necessary materials, and a Notes section which shares tips on troubleshooting and avoiding known pitfalls.
Comprehensive and state-of-the-art, Cancer Gene Profiling: Methods and Protocols is a fundamental guidebook for researchers in the field of cancer gene profiling, as well as for those individuals in the area of biomedical/translational research.
Contents:
Cancer Gene Profiling: Methods and Protocols
Robert Grutzmann and Christian Pilarsky, eds.
Table of Contents
Preface
Contributors
1. Organizational Issues in Providing High Quality Human Tissues and Clinical Information for the Support of Biomedical Research
Walter C. Bell, Katherine C. Sexton and William E. Grizzle
2. Manual microdissection
Glen Kristiansen
3. Laser Microdissection
Anja Rabien
4. Tissue Microarrays
Ana-Maria Dancau, Ronald Simon, Martina Mirlacher and Guido Sauter
5. A Decade of Cancer Gene Profiling: From Molecular Portraits to Molecular Function
Henri Sara, Olli Kallioniemi and Matthias Nees
6. Mining EST libraries for cancer associated genes
Armin Schmitt
7. Automated fluorescent differential display (FDD) for cancer gene profiling
Jonathan D. Meade, Yong-jig Cho, Blake R. Shester, Jamie C. Walden, Zhen Guo and Peng Liang
8. Manual microdissection combined with aRNA-longSAGE for the analysis of limited cell numbers
Jutta Luttges, Stephan A. Hahn and Anna M. Heidenblut
9. Quantitative DNA Methylation Profiling on a High Density Oligonucleotide Microarray
Anne Fassbender, Joern Lewin, Thomas Koenig, Tamas Rujan, Cecile Pelet, Ralf Lesche, Jurgen Distler and Matthias Schuster
10. SNP analysis to associate cancer risk
Julie Earl and William Greenhalf
11. Application of proteomics in cancer gene profiling: 2D-DIGE
Deepak Hariharan, Mark E Weeks and Tatjana Crnogorac-Jurcevic
12. Search for and Identification of Novel Tumor associated Autoantigens
Karsten Conrad, Holger Bartsch, Ulrich Canzler, Christian Pilarsky, Robert Grutzmann and Michael Bachmann
13. Integrative Oncogenomic Analysis OfMicroarray Data In Hematologic Malignancies
Jose A Martinez-Climent, Lorena Fontan, Vicente Fresquet, Eloy Robles, Maria Ortiz and Angel Rubio
14. Cancer gene profiling in pancreatic cancer
Felip Vilardell Villellas and Christine A. Iacobuzio-Donahue
15. Cancer Gene Profiling in Prostate Cancer
Adam Foye and Phillip G. Febbo
16. Cancer Gene Profiling for Response Prediction
B. Michael Ghadimi and Marian Grade
17. The EGFR pathway as an example for genotype - phenotype correlation in tumor genes
Ulrike Mogck, Eray Goekkurt and Jan Stoehlmacher
18. Quantitation of CD39 gene expression in pancreatic tissue by real-time polymerase chain reaction (qRT-PCR)
Martin Loos, Beat Kunzli, and Helmut Friess
19: Functional profiling methods in cancer
Joaquin Dopazo
20: Calibration of microarray gene-expression data
Hans Binder, Stephan Preibisch and Hilmar Berger
21. Meta-analysis of Cancer Gene Profiling Data
Xinan Yang and Xiao Sun
22. Target gene discovery for novel therapeutic agents in cancer treatment
Ole Ammerpohl, Sanjay Tiwari and Holger Kalthoff
PRODUCT DETAILS
Publisher: Springer (Humana Press Inc.)
Publication date: March, 2012
Pages: 462
Weight: 972g
Availability: Available
Subcategories: Genetics, Oncology
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